Spectrum Allocation Methods: Studying Allocation through Auctions

Afrl-ry-wp-tp-2010-1150 Predicting the Demand for Spectrum Allocation through Auctions (preprint)

The projected rare resource spectrum generates high profits if utilized efficiently. The current static allocation lead the spectrum to underutilized with fixed income. Predicting the user requirement for spectrum and auctioning the spectrum helps to better serve the customers and at the same time increases the income. In this research we use the automated collaborative filtering model for pred...

Liberalizing US spectrum allocation

In the US, adjudication of wireless entry under the ‘‘public interest’’ standard protects incumbent service providers. Excess demand exists for access to radio spectrum, despite a common misperception that license auctions held by regulators are tantamount to selling spectrum. Would-be suppliers are slowed by the regulatory process. After discussing the financial tolls extracted, the author sug...

Sequential Auctions for Full Truckload Allocation

Auctions for task allocation to robots

We present an auction-based method for dynamic allocation of tasks to robots. The robots operate in a 2D environment for which they have a map. Tasks are locations in the map that have to be visited by the robots, in any order. Unexpected obstacles and other delays may prevent a robot from completing its allocated tasks. Therefore tasks not yet achieved are rebid every time a task has been comp...

Efficient Allocation via Sequential Scrip Auctions

We study the problem of allocating items to two agents with arbitrary valuation functions. Instead of actual money, we use sequential auctions with “scrip money”, i.e. money that has no value outside the auction. By considering such scrip auctions as a special case of more general bidding games, we show that there exists a natural pure subgame perfect Nash equilibrium (PSPE) with the following ...